Screening

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Colorectal cancer study

Covid-19 pandemic slashes CRC diagnoses by over 40%

The number of colorectal cancer (CRC) cases diagnosed fell dramatically by 40% in a year during the Covid-19 pandemic, new research presented at United European Gastroenterology (UEG) Week Virtual…

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Additional costs that pay off

For women with dense breasts, MRIs are cost effective for detecting breast cancer

New research indicates that MRIs are cost effective for detecting breast cancer for women with very dense breasts detected by mammography. About 10% of women have extremely dense breasts, and current…

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Insight report

More screening and secondary prevention needed

For World Patient Safety Day, Health First Europe (HFE) published a comprehensive insight report on five disease areas that affect millions of European citizens each year and how the European Union…

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Discussing benefits and flaws

AI in cardiology: a marriage made in heaven – or hell?

The role of Artificial Intelligence (AI) – one of the most divisive issues in cardiology – was debated during a session of the European Society of Cardiology annual congress. Two leading experts…

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Eye disease prevention

Using AI to screen for glaucoma

Scientists from the Nanyang Techniogical University (NTU) Singapore, in collaboration with clinicians at Tan Tock Seng Hospital (TTSH) in Singapore, have developed a novel method that uses artificial…

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Stockholm3 test to reduce MRI

New blood test to improve prostate cancer screening

Researchers at Karolinska Institutet recently reported that magnetic resonance imaging (MRI) could reduce overdiagnoses and thereby improve prostate cancer screening. Now, the same research group has…

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Screening, early detection, treatment optimisation

AI techniques advancing oncology care

Cancer care and the treatment clinicians can offer patients is being increasingly enhanced by Artificial Intelligence (AI). The technology has a role in diagnosis, with algorithms trained to design and deliver patient care, can match patients to clinical trials they may benefit from, and even help predict outcomes and those at greatest risk.

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Oncology early detection tool

Blood test for 50+ types of cancer promising for screening

Final results from a study of a blood test that can detect more than 50 types of cancer have shown that it is accurate enough to be rolled out as a multi-cancer screening test among people at higher risk of the disease, including patients aged 50 years or older, without symptoms. In a paper published in the cancer journal Annals of Oncology, researchers report that the test accurately detected…

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Campaign to reprioritise breast health

Breast cancer: "Screening routine" to combat Covid-related backlog

One of the negative impacts of the coronavirus pandemic has been the suspension or postponement of many cancer screening services. Each year, these services help prevent and detect the presence of cancer at an early stage; timely diagnosis and care are crucial in preventing the spread of cancer. The National Screening Observatory has confirmed this, reporting alarming statistics: during the first…

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Combining common risk factors

Deep learning enables dual screening for cancer and CVD

Heart disease and cancer are the leading causes of death in the United States, and it’s increasingly understood that they share common risk factors, including tobacco use, diet, blood pressure, and obesity. Thus, a diagnostic tool that could screen for cardiovascular disease while a patient is already being screened for cancer has the potential to expedite a diagnosis, accelerate treatment, and…

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Mammography

Advancing the Breast Continuum of Care

The pandemic has presented healthcare systems with new challenges, resulting in backlogs of routine screenings and delayed procedures which threaten the health and wellbeing of patients, as well as the ability of facilities to serve their communities. In order to address these widespread issues, we need to ensure that healthcare professionals are able to operate with precision, confidence and…

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Mammography support

AI solution may reduce interval breast cancer rates

Medical technology company iCAD, Inc. announced that ProFound AI for 2D Mammography might notably reduce the risk of interval breast cancer, according to a new retrospective analysis. The aim of the study was to determine if adding AI to reading mammography as a supportive tool may help in decreasing the interval cancer rate in population-based organized mammography screening programs in Germany.

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Digital pathology

AI delivers cervical cancer screening to rural areas of Kenya

Experts from Sweden, Finland and Kenya are using digital microscopy combined with Artificial Intelligence (AI) to deliver a rapid and effective cervical screening service to rural locations in Kenya. The project sees AI and digital diagnostics bridge the gap between low-resource settings and the availability of centralised AI-enhanced expertise and pathology services, located in larger cities in…

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HPV testing advances

Cervical cancer screening: Emerging tech to replace Pap smears

Emerging technologies can screen for cervical cancer better than Pap smears and, if widely used, could save lives both in developing nations and parts of countries, like the United States, where access to health care may be limited. In Biophysics Reviews, by AIP Publishing, scientists at Massachusetts General Hospital write advances in nanotechnology and computer learning are among the…

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The iCAIRD project

AI to aid Scottish breast screening

Implementation of artificial intelligence into Scotland’s national breast screening service is moving closer following an initial success with a trial project. While Scotland’s breast screening trial has delivered highs and lows, significant hurdles have been overcome in terms of approvals, governance and patient acceptance.

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Updates: France, Germany, the UK, Croatia, Hungary, Poland, Russia

Pan-European lung cancer screening

Pan-European lung cancer screening is challenged due to the range of approaches in different countries. As attitudes towards smoking and smoking cessation programmes vary, experts are attempting to establish more unified lung cancer screening. The introduction of consistent pan-European lung cancer screening will be outlined at a special session during the online ECR 2021, with presentations…

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Vocal biomarker

Covid-19 'voice check' screening tool validated in large clinical study

AI-based vocal biomarker company Vocalis Health announced results of a clinical study conducted in collaboration with the Municipal Corporation of Greater Mumbai (MCGM) at their NESCO Covid-19 Center to validate Vocalis Health’s Covid-19 screening tool, VocalisCheck. The study included over 2,000 participants who spoke numerous languages including English, Hindi, Marathi and Gujarati. Results…

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HPV vaccines and pap smear tests

Keys to prevent many cervical cancer cases

Hundreds of thousands of cervical cancer cases per year could be prevented through widespread vaccinations for human papillomavirus (HPV) and annual pap smear tests, says an expert at a top American hospital, Cleveland Clinic, marking Cervical Cancer Awareness Month in January. Dr. Robert DeBernardo, Section Head of Gynecologic Oncology and Vice Chair Subspecialty Care for Women’s Health at…

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AI does not discriminate

Removing bias from mammography screening with deep learning

AI can help tackle inequities and bias in healthcare but it also brings partiality issues of its own, experts explained in a Hot Topic session entitled "Artificial Intelligence and Implications for Health Equity: Will AI Improve Equity or Increase Disparities?" at RSNA. Two leading researchers showcased how deep learning may help bring back all the patients into screening mammography…

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Digital health

AI test rules out Covid-19 diagnosis within one hour

An Artificial Intelligence test has been shown to be able to rapidly screen patients arriving in Emergency Departments for Covid-19, using clinical information routinely available within the first hour of coming to hospital. Results of the CURIAL study, published in The Lancet Digital Health, show that the AI test correctly predicted the Covid-19 status of 92.3% of patients coming to Emergency…

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